首页|Reports Outline Machine Learning Findings from Tianjin University (Multifunction al Analysis of Construction Contracts Using a Machine Learning Approach)
Reports Outline Machine Learning Findings from Tianjin University (Multifunction al Analysis of Construction Contracts Using a Machine Learning Approach)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting out of Tianjin, People's Republic of China, by NewsRx editors, research stated, "In the intricate domain of construc tion contracts, precise descriptions and measurements of contract structures are crucial. This study provides an objective analysis of the structure of construc tion contracts from a multifunctional perspective." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from Tianjin University, "A deep learningbased machine coding model was trained using 17 standard contr acts and 35 actual contracts. The model was then used to code an additional 117 actual contracts. Statistical analysis was conducted to compare the distribution of the three functions (i.e., control, coordination, and adaptation) between st andard and actual contracts. The results revealed that coordination has the high est contribution among the three functions. Moreover, actual contracts exhibit i ncreased complexity compared with standard contracts, often containing additiona l control and coordination provisions related to project-specific obligations an d tasks. The 117 actual contracts were further classified based on project deliv ery systems (PDSs) and pricing methods, and the impact of PDSs and pricing metho ds on the functional distribution was examined. The results showed more flexible adaptation and more complex control provisions specified in design-build/engine ering, procurement, and construction (DB/EPC) and lump sum contracts. Theoretica lly, this study provides insights into objective measures in contract research a nd enriches the body of knowledge on the structure of construction contracts fro m a multifunctional perspective."
TianjinPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTianjin University
NETL
NSTL
